Quantitative Advisory Associate

Company: Solvyr

Compensation: $90,000–$100,000 per year

Start Date: Winter

Department: Operations

Role Overview

This role focuses on risk management, regulatory compliance, and data analytics within the Quantitative Advisory Services (QAS) group of the Financial Services Organization (FSO). The QAS group provides quantitative risk management services to clients across Banking & Capital Markets, Insurance, and Wealth & Asset Management sectors. The team focuses on development, implementation, testing, and validation of analytic models for various risk areas, regulatory capital analytics, front office derivative pricing, banking book credit analytics, and balance sheet management. The team also leverages Artificial Intelligence / Machine Learning (AI / ML), including Generative AI (GenAI). This is a collaborative, challenging specialist area where you will learn as you go.

Key Responsibilities

• Provide comprehensive quantitative risk management services.
• Identify, measure, manage, and monitor market, credit, operational, and liquidity risks, asset-liability management, and capital management.
• Develop, implement, test, and validate analytic models for:
• Risk management (market risk, credit risk, liquidity/treasury risk, operational risk, compliance risk, climate risk).
• Regulatory capital analytics (e.g., Basel III, FRTB, CCAR).
• Front office derivative pricing across various asset classes.
• Banking book credit analytics (e.g., loss forecasting, reserves/CECL, PPNR).
• Balance sheet management.
• Wealth and asset management.
• Leverage advanced analytics applications, including AI / ML and GenAI.
• Work on multiple high-profile projects in a collaborative team environment.
• Engage with the company's clients.

Requirements & Tech Stack

• Capability to effectively program computer routines using one or more languages such as C++, Java, Python, VBA, SAS, R, and SQL.
• Experience with Artificial Intelligence / Machine Learning (AI / ML), including Generative AI (GenAI).

Qualifications

• A strong academic record with a Master’s degree in Computational / Quantitative Finance, Mathematics, Physics, Engineering, Statistics, Economics, or Computer Science.
• The ability to work collaboratively in a team environment, demonstrate inclusivity, and embrace diverse perspectives.
• Excellent presentation skills and the ability to communicate complex concepts effectively to all audiences.
• Intellectual curiosity, the ability to take initiative and drive execution, with advanced analytical and problem-solving skills within a dynamic and evolving business landscape.
• Exhibits an agile and growth-oriented mindset.
• Access to reliable transportation to/from the company office and client sites. A driver’s license is strongly recommended.
• The ability and willingness to travel and work in excess of standard hours when necessary.
• In certain circumstances, travel may be required beyond your work location based on client and project needs.
• Immigration sponsorship may be available.

Perks & Benefits

• Health benefits.
• 401(k) plan.
• Paid time off.